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CCE
2004
14 years 11 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis
NN
2002
Springer
136views Neural Networks» more  NN 2002»
14 years 10 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
INFOCOM
2010
IEEE
14 years 9 months ago
Optimal Probing for Unicast Network Delay Tomography
—Network tomography has been proposed to ascertain internal network performances from end-to-end measurements. In this work, we present priority probing, an optimal probing schem...
Yu Gu, Guofei Jiang, Vishal Singh, Yueping Zhang
ECML
2007
Springer
15 years 5 months ago
Learning Balls of Strings with Correction Queries
When facing the question of learning languages in realistic settings, one has to tackle several problems that do not admit simple solutions. On the one hand, languages are usually...
Leonor Becerra-Bonache, Colin de la Higuera, Jean-...
ICOIN
2007
Springer
15 years 5 months ago
Balanced Multipath Source Routing
Abstract. We consider the problem of balancing the traffic load ideally over a wireless multihop network. In previous work, a systematic approach to this task was undertaken, start...
Shreyas Prasad, André Schumacher, Harri Haa...